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Wessam Hassan
Junior AI Engineer specializing in LLM agents, RAG systems, and on-chain automation
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About
AI engineer who shipped a production KYC facial liveness/recognition pipeline (10k+ monthly verifications), including an on-prem, GPU-hosted Qwen3-VL vision-language fallback to detect spoofing/replay attacks. Also helped build a deterministic multi-agent orchestration layer powering a marketplace with Solana on-chain payments, abstracting blockchain complexity behind an API, and has experience translating real-world needs from non-technical stakeholders (construction) into practical document-reading solutions.
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Key Strengths
- Built and deployed end-to-end facial detection + liveness + recognition system for KYC
- Scaled production verification pipeline handling 10,000+ verifications/month
- Designed robust anti-spoofing with VLM fallback (Qwen3-VL) using keyframes + metadata to catch replay attacks
- Strong evaluation discipline: held-out test sets across devices/lighting/angles/spoof types; changes must beat baseline
- Production monitoring and continuous improvement loop (drift/spike detection, relabeling, retraining)
- Designed deterministic multi-agent orchestration with retries/error handling and double-payment avoidance on Solana
- Effective non-technical stakeholder collaboration (on-site discovery with construction managers to build document reader)
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